Findings

Know what to fix, and why.

rankyn turns every measurement into findings: what is wrong, why, and how urgent. Each one is backed by the answers and sources behind it.

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Magnesium Glycinate Powder

High
Price and availability are not machine readableOffer markup on the product page has no price and no availability, so AI answers fall back to other shops.

Fixes

  • Add price and availability to the Offer markup.In your theme’s product template, fill offers.price, priceCurrency and availability.
  • Keep the markup in step with the shop.Render the values from the product data, not as fixed text.

Findings, not guesswork

A finding is rankyn’s diagnosis of what is wrong, backed by evidence. It tells you what to change, why it matters, and how urgent it is.

  • What is wrong

    Each finding names the problem in plain terms, such as your product never being recommended for one buying intent.

  • Why, with evidence

    The finding links to the answers and sources behind it, so you see the proof instead of taking a score on faith.

  • Priority

    Every finding is ordered by impact, so you fix what moves your recommendation rate most, first.

1Evidence from the answer

ChatGPT“Best magnesium for better sleep?”

For better sleep, magnesium glycinate is the gentlest form. Halvor & Co and Lumae Labs both list their price and show they are in stock, so they are easy to buy today.

Your productNot in this answer

2Cause

High

Price and availability are not machine readable

Offer markup on the product page has no price and no availability, so AI answers fall back to other shops.

Checked on your product pageoffers.priceoffers.availabilityMissing

3Fix

High

Add price and availability to the Offer markup.

In your theme’s product template, fill offers.price, priceCurrency and availability.

How AI describes your product

rankyn reads what the AI says about your product: its properties, price, suitability and shipping. A wrong or harmful statement becomes a finding with a fix.

  • Statements, not a mood

    You see the concrete claims, each checked against your product data. There is no sentiment score to interpret.

  • Wrong claims become findings

    An outdated price or a false property is a finding with evidence and a fix, like every other finding.

Magnesium Glycinate PowderChatGPT

What the answer says about your product

  • Property“Vegan, without fillers”Matches your data
  • Price“Around €29 for 300 g”Your price: €24.90Wrong
  • Suitability“Suited for evening use”Matches your data
  • Shipping“Ships within Germany only”You ship to the EUWrong

Finding

AI states an outdated price

Fix: check the price in your product page’s Offer markup and in the sources that quote it, and update the old one.

The basics are checked too

Beyond the answers, rankyn checks the foundations every product page needs. These checks decide whether AI can reach, read, and trust your offer.

  • AI crawler access

    rankyn checks that your robots.txt lets AI crawlers read your product pages. A page AI cannot reach is a page it cannot recommend.

  • Product & Offer structured data

    rankyn checks that your product and offer are marked up as structured data, so AI can parse the name, price, and details reliably.

  • Price & availability markup

    rankyn checks that price and availability are machine readable, so an agent can tell your product is in stock and what it costs.

Finding to fix to re‑test

Every finding ends in a change and a re‑test. That loop is how rankyn turns a diagnosis into proof.

  1. 01

    Finding

    rankyn finds what is wrong and why, with the evidence behind it.

  2. 02

    Fix

    You make the change yourself, or your agency does. Each fix says what to change and how.

  3. 03

    Re‑test

    rankyn runs the same prompts on the same surfaces, so you see whether the change actually moved the answer.

Who carries out the fix

rankyn shows you what to change. You make the change yourself or your agency does. Founding customers get help with their first fixes directly from the rankyn team.

Fix it yourself

Every fix comes with what to change and how, written so you or your team can do it. No guesswork about the next step.

  1. Today

    By hand, with the guide in the fix

    Follow the steps in the fix in your store admin or theme. The re‑test then shows whether it worked.

  2. Planned

    rankyn Agents

    An agent carries out a whole fix across several steps and asks for your approval before each change.

    Learn more about rankyn Agents
  3. Coming soon

    Apply to Shopify

    Apply one fix per click straight to your Shopify store, with a preview before it goes live.

    Learn more about Apply to Shopify

Your agency

Hand the fixes to your agency; agencies run rankyn for the stores they look after. Founding customers get help with their first fixes directly from the rankyn team.

  1. You hand the fixes to your agency
  2. Your agency makes the changes on your product pages and in the sources AI trusts
  3. The re‑test shows the effect
For agencies

Start with the fix that matters most.

See your findings and turn the first one into a change. Start with a free audit to see where you stand.

Get a free auditSee pricing

Questions about findings

Findings, fixes, and who carries them out, in short. Can’t find your answer? Write to hello@rankyn.ai.

What is a finding?

A finding is rankyn’s diagnosis of what is wrong and why, backed by evidence. It names the problem, links to the answers and sources that show it, and states how urgent it is.

How does a finding become a fix?

rankyn turns each finding into a concrete fix. Each fix says what to change and how, and it is ordered by priority, so you work on what moves your recommendation rate the most.

Who carries out a fix?

You do, or your agency does. Every fix is written so your team or your agency can act on it, on your product pages and in the sources AI trusts. Founding customers get help with their first fixes directly from the rankyn team.

Does rankyn check more than the answers?

rankyn checks the basics too, not just the answers. For every product it checks AI crawler access, product and offer structured data, and price and availability markup, the foundations an answer is built on.

How do I know a fix worked?

A re‑test from rankyn shows it. rankyn runs the same prompts on the same surfaces under the same conditions, so you see whether the recommendation rate moved after the change.